Determinants of ERP Adoption in the Food and Beverage Industry: Evidence from UTAUT2
DOI:
https://doi.org/10.21070/jas.v10i1.2083Keywords:
ERP, Intention to Use, SMEs, Use Behaviour, UTAUT2Abstract
General Background: Enterprise Resource Planning (ERP) systems provide solutions by integrating various business functions through automated processes. Specific Background: Empirical research on ERP adoption among Indonesian SMEs is still limited, especially regarding usage intentions and actual usage behaviour, posing practical challenges for SMEs. Knowledge Gap: This study addresses gaps in previous findings that were limited in terms of sample size, industry type, data collection techniques, and ERP components tested by MSMEs, using the UTAUT2 perspective. Objective: This study analyses the determinants of ERP usage intentions and the moderating role of ICT experience in food and beverage SMEs. Method: Primary data were collected through questionnaires distributed to owners, directors, and managers of food and beverage SMEs in five provinces in Indonesia and analysed using Partial Least Squares–Structural Equation Modelling (PLS-SEM). The final sample size was 133 respondents. Results: The results indicate that the intention to use ERP is significantly influenced by performance expectations, effort expectations, supportive conditions, habit, and information quality, while ERP usage behaviour is influenced by habit and intention to use. Novelty: This study expands on UTAUT2–ERP research by integrating information quality into the model and analysing ICT experience as a moderator for ERP usage intention and actual usage behaviour in food and beverage SMEs. Implications: These findings provide guidance for SMEs to adopt ERP and provide insights for service providers to develop more user-oriented systems and services.
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Abdellah, Z., AmineArrahmane, A., & Fatima, J. (2016). Factors affecting adoption of FLOSS ERP system by SMEs f directors and managers in developing countries using UTAUT2, SEM and R. In 2016 4th IEEE International Colloquium on Information Science and Technology (CiSt) (pp. 25-30). IEEE. https://doi.org/10.1109/CIST.2016.7805058
Akrong, G. B., Yunfei, S., & Owusu, E. (2022). Development and validation of an improved DeLone-McLean IS success model-application to the evaluation of a tax administration ERP. International Journal of Accounting Information Systems, 47, 100579. https://doi.org/10.1016/j.accinf.2022.100579
Andwika, V. R., & Witjaksono, R. W. (2020). Analysis of User Acceptance of ERP System on After Sales Function Using Unified Theory of Acceptance and Use of Technology (UTAUT) Model. International Journal of Advances in Data and Information Systems, 1(1), 26–33. https://doi.org/10.25008/ijadis.v1i1.178
Bourque, L. B., & Fielder, E. P. (2011). How To Conduct Self-Administered and Mail Surveys. SAGE Publications, Inc., 2455 Teller Road, Thousand Oaks, CA 91320.
Cabrera-Sánchez, J. P., Villarejo-Ramos, Á. F., Liébana-Cabanillas, F., & Shaikh, A. A. (2021). Identifying relevant segments of AI applications adopters – Expanding the UTAUT2’s variables. Telematics and Informatics, 58. https://doi.org/10.1016/j.tele.2020.101529
Central Statistics Agency. (2023). Statistik Penyediaan Makanan dan Minuman 2023. Retrieved March 6, 2024, from https://www.bps.go.id/id/publication/2024/12/23/f2c7743c4712aaeaa4abf694/statistik-penyediaan-makanan-dan-minuman-2023.html
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
Faqih, K. M., & Jaradat, M. I. R. M. (2021). Integrating TTF and UTAUT2 theories to investigate the adoption of augmented reality technology in education: Perspective from a developing country. Technology in Society, 67, 101787. https://doi.org/10.1016/j.techsoc.2021.101787
Farooq, M. S., Salam, M., Jaafar, N., Fayolle, A., Ayupp, K., Radovic-Markovic, M., & Sajid, A. (2017). Acceptance and use of lecture capture system (LCS) in executive business studies: Extending UTAUT2. Interactive Technology and Smart Education, 14(4), 329–348. https://doi.org/10.1108/ITSE-06-2016-0015
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, California: Sage Publications.
Hartono, J. (2011). Metodologi Penelitian Bisnis: Salah Kaprah dan Pengalaman-Pengalaman. BPFE.
Harun, H., Nurain, N., & Nurwani, N. (2025). Integration of Digital Payment Literacy and Accounting in Promoting the Growth of MSMEs. Journal of Accounting Science, 9(2), 324-351. https://doi.org/10.21070/jas.v9i2.2009
Hustad, E., & Stensholt, J. (2023). Customizing ERP-systems: A framework to support the decision-making process. Procedia Computer Science, 219, 789–796. https://doi.org/10.1016/j.procs.2023.01.352
Indira, I., Kartikasari, E. D., Sulton, M., Priyatna, D., & Prasetyo, H. (2023). The moderation role of government policy on the effect of intellectual capital on the performance of small and medium enterprise. Journal of Accounting Science, 7(1), 17-32. https://doi.org/10.21070/jas.v7i1.1650
Jaradat, Z., AL-Hawamleh, A., Altarawneh, M., Al-Tahat, S., & Akram Nazzal, M. (2025). Effects of effective ERP system utilization on enterprise economic sustainability through product life cycle cost control. Journal of Business and Socio-economic Development, 5(3), 240-258. https://doi.org/10.1108/JBSED-10-2024-0103
Jo, H., & Bang, Y. (2023). Understanding continuance intention of enterprise resource planning (ERP): TOE, TAM, and IS success model. Heliyon, 9(10). https://doi.org/10.1016/j.heliyon.2023.e21019
Kanaan-Jebna, A., Baharudi, A. S., & Alabdullah, T. T. Y. (2022). Entrepreneurial orientation, market orientation, managerial accounting and manufacturing SMEs satisfaction. Journal of Accounting Science, 6(1), 1-14. https://doi.org/10.21070/jas.v6i1.1590
Kapser, S., & Abdelrahman, M. (2020). Acceptance of autonomous delivery vehicles for last-mile delivery in Germany – Extending UTAUT2 with risk perceptions. Transportation Research Part C: Emerging Technologies, 111, 210–225. https://doi.org/10.1016/j.trc.2019.12.016
Katuu, S. (2020). Enterprise resource planning: past, present, and future. New Review of Information Networking, 25(1), 37-46. https://doi.org/10.1080/13614576.2020.1742770
Kilani, A. A. H. Z., Kakeesh, D. F., Al-Weshah, G. A., & Al-Debei, M. M. (2023). Consumer post-adoption of e-wallet: An extended UTAUT2 perspective with trust. Journal of Open Innovation: Technology, Market, and Complexity, 9(3), 100113. https://doi.org/10.1016/j.joitmc.2023.100113
Kim, H. W., Xu, Y., & Gupta, S. (2012). Which is more important in Internet shopping, perceived price or trust?. Electronic commerce research and applications, 11(3), 241-252. https://doi.org/10.1016/j.elerap.2011.06.003
Kositanurit, B., Ngwenyama, O., & Osei-Bryson, K. M. (2006). An exploration of factors that impact individual performance in an ERP environment: An analysis using multiple analytical techniques. European Journal of Information Systems, 15(6), 556–568. https://doi.org/10.1057/palgrave.ejis.3000654
Kumar, J., Rani, V., Rani, M., & Rani, G. (2025). Digital transformation in small and medium-sized enterprises: key insights for entrepreneurs and policymakers to cultivate a future-ready business. Digital Transformation and Society, 1-18. https://doi.org/10.1108/DTS-10-2024-0192
Lee, Y., Lim, W., & Eng, H. S. (2024). A systematic review of UTAUT2 constructs’ analysis among MSMEs in non-OECD countries. Journal of Science and Technology Policy Management, 15(4), 765-793. https://doi.org/10.1108/JSTPM-08-2022-0140
Lorente-Martínez, J., Navío-Marco, J., & Rodrigo-Moya, B. (2020). Analysis of the adoption of customer facing InStore technologies in retail SMEs. Journal of Retailing and Consumer Services, 57, 102225. https://doi.org/10.1016/j.jretconser.2020.102225
Malesu, M. L., & Syrovátka, P. (2025). Critical success factors for small and medium sized businesses: a PRISMA-based systematic review. Future Business Journal, 11(1), 32. https://doi.org/10.1186/s43093-025-00458-1
Martinez, B. M., & McAndrews, L. E. (2023). Investigating U.S. consumers’ mobile pay through UTAUT2 and generational cohort theory: An analysis of mobile pay in pandemic times. Telematics and Informatics Reports, 11. https://doi.org/10.1016/j.teler.2023.100076
Ministry of Communication and Information Technology. (2023). Indeks Literasi Digital Tahun 2022 Meningkat, Kominfo Tetap Perhatikan Indeks Keamanan. Retrieved January 9, 2024, from https://www.komdigi.go.id/berita/siaran-pers/detail/siaran-pers-no-10-hm-kominfo-02-2023-tentang-indeks-literasi-digital-tahun-2022-meningkat-kominfo-tetap-perhatikan-indeks-keamanan
Ministry of Cooperatives and SMEs. (2024). Afirmasi Kebijakan Penghapusan Pajak Usaha Kecil Bagi UMKM. Retrieved January 6, 2026, from https://umkm.go.id/news/trujm0bu4rptb9nde9a8b09h
Namahoot, K. S., & Jantasri, V. (2023). Integration of UTAUT model in Thailand cashless payment system adoption: the mediating role of perceived risk and trust. Journal of Science and Technology Policy Management, 14(4), 634–658. https://doi.org/10.1108/JSTPM-07-2020-0102
Ong, M. H. A., Yusri, M. Y., & Ibrahim, N. S. (2023). Use and behavioural intention using digital payment systems among rural residents: Extending the UTAUT-2 model. Technology in Society, 74, 102305. https://doi.org/10.1016/j.techsoc.2023.102305
Schmitz, A., Díaz-Martín, A. M., & Yagüe Guillén, M. J. (2022). Modifying UTAUT2 for a cross-country comparison of telemedicine adoption. Computers in Human Behavior, 130. https://doi.org/10.1016/j.chb.2022.107183
Selvi, M. S., & Önem, Ş. (2025). Impact of Variables in the UTAUT 2 Model on the Intention to Use a Fully Electric Car. Sustainability, 17(7), 3214. https://doi.org/10.3390/su17073214
Shaw, N., & Sergueeva, K. (2019). The non-monetary benefits of mobile commerce: Extending UTAUT2 with perceived value. International journal of information management, 45, 44-55. https://doi.org/10.1016/j.ijinfomgt.2018.10.024
Sholihin, M., & Ratmono, D. (2021). Analisis SEM-PLS dengan Warpls 7.0 (1st ed.). Penerbit Andi.
Svensson, A., & Thoss, A. (2021). Risk factors when implementing ERP systems in small companies. Information, 12(11), 478. https://doi.org/10.3390/info12110478
Teo, T. (2011). Factors influencing teachers’ intention to use technology: Model development and test. Computers & Education, 57(4), 2432-2440. https://doi.org/10.1016/j.compedu.2011.06.008
Tseng, S. M. (2025). Determinants of the Intention to Use Digital Technology. Information, 16(3), 170. https://doi.org/10.3390/info16030170
Uddin, M. A., Alam, M. S., Mamun, A. Al, Khan, T. U. Z., & Akter, A. (2019). A study of the adoption and implementation of enterprise resource planning (ERP): Identification of moderators and mediator. Journal of Open Innovation: Technology, Market, and Complexity, 6(1). https://doi.org/10.3390/JOITMC6010002
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478. https://doi.org/10.2307/30036540
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending The Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
Yang, F., Ren, L., & Gu, C. (2022). A study of college students’ intention to use metaverse technology for basketball learning based on UTAUT2. Heliyon, 8(9). https://doi.org/10.1016/j.heliyon.2022.e10562
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